计算机工程与应用2019，Vol.55Issue(6)：160-167,8.DOI:10.3778/j.issn.1002-8331.1810-0058
结合局部熵能量泛函与非凸正则项的图像分割
Energy Functional of Local Entropy Combined with Non-Convex Regularization for Image Seg-mentation
摘要
Abstract
To overcome the influence of intensity inhomogeneity on image segmentation, an image segmentation algo-rithm is proposed by energy functional of local entropy in combination with non-convex regularization, which combines global energy terms of CV model and local energy terms of LBF model, and local entropy information and nonconvex reg-ularization are introduced to construct new energy functional. Firstly, global energy functional is employed to obtain coarse segmentation in CV model, which builds local energy functional based on local entropy information to obtain accu-rately segmentation. Secondly, non-convex regularization serves as another driving force in image evolution to drive curve evolution and preserve edge. This algorithm minimizes this newly constructed energy functional by using level set method and updates the level set function through iteration to complete the curve evolution. Finally, contrast experimen-tal results show that the proposed method can efficiently and accurately segment intensity inhomogeneity image.关键词
图像分割/局部熵/能量泛函/灰度不均匀/非凸正则项Key words
image segmentation/local entropy/energy functional/intensity inhomogeneity/non-convex regularization分类
信息技术与安全科学引用本文复制引用
韩明,王敬涛,孟军英,刘教民..结合局部熵能量泛函与非凸正则项的图像分割[J].计算机工程与应用,2019,55(6):160-167,8.基金项目
广东省省级科技计划项目(No.2015B010919001,No.2016B090912002,No.2013JDXM30). （No.2015B010919001,No.2016B090912002,No.2013JDXM30）
